Tag Archives: hdfs high availability

Cloudera Director 1.5 is now available; this post describes what’s inside, including a new open source plugin interface.

Cloudera Director is the manifestation of Cloudera’s commitment to providing a simple and reliable way to deploy, scale, and manage Apache Hadoop in the cloud of your choice. With Cloudera Director 1.5, we continue the story of enabling production-ready clusters and big data applications by focusing on the following themes.

Upgrades can be hard, and any downtime to mission-critical workloads can have a direct impact on revenue. Upgrading the software that powers these workloads can often be an overwhelming and uncertain task that can create unpredictable issues. Apache Hadoop can be especially complex as it consists of dozens of components running across multiple machines.

I’ve always held a strong bias that education is most effective when the student learns by doing. As a developer of technical curricula, my goal is to have training participants engage with real and relevant problems as much as possible through hands-on exercises. The high rate at which Apache Hadoop is changing, both as a technology and as an ecosystem, makes developing Cloudera training courses not only demanding but also seriously fun and rewarding.

Last week the Apache Hadoop PMC voted to release Apache Hadoop 2.0.3-alpha, the latest in the Hadoop 2 release series. This release fixes over 500 issues (covering the Common, HDFS, MapReduce and YARN sub-projects) since the 2.0.2-alpha release in October last year. In addition to bug fixes and general improvements the more noteworthy changes include:

HDFS High Availability (HA) can now use a Quorum Journal Manager (QJM) for sharing namenode edit logs (HDFS-3077).